E3S Web Conf.
Volume 328, 2021International Conference on Science and Technology (ICST 2021)
|Number of page(s)||4|
|Section||Electrical, Intrumentation and control, Dynamic Electricity|
|Published online||06 December 2021|
Design of Automatic Chili and Tomato Sprinklers Based on Arduino Mega 2560
Department of Electrical Engineering, Faculty of Engineering, Musamus University, Merauke 99600, Indonesia
* Corresponding author: firstname.lastname@example.org
Farmers generally do not know the amount of water needed by plants. Sometimes they also do not have enough time to water the plants regularly. Merauke Regency has a very strict climate between the rainy season and the dry season. During a prolonged summer can cause plants to experience drought due to lack of water. So, it is necessary to design an automatic plant sprinkler based on soil moisture around the plant. This study designed an automatic chili and tomato sprinkler based on Arduino Mega 2560 in Wasur II Village. The microcontroller used is Arduino mega 2560, soil moisture sensor YL-69, relay, water pump and sensor probe. 3 pairs of 20 cm soil moisture sensors will be connected in series, then plugged into the ground 15 cm deep. As a result, the tool performs watering (relay on) when the soil moisture in chili plants is below 75% and on tomato plants is below 70%. Furthermore, when the soil moisture in chili plants reaches 75.86%, the soil resistance value obtained is 34.58 ohms. Then when the soil moisture in tomato plants reaches 70.19%, the soil resistance value obtained is 42.70 ohms.
Key words: Arduino / Sensors / Soil Moisture / Soil Resistance
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.